蚁群算法作为新发展的一种模拟蚂蚁群体智能行为的仿生优化算法，它具有较强的鲁棒性、优良的分布式计算机制、易于与其他方法相结合等优点，本算法用来解决最短路径问题，并在TSP旅行商问题上取得较好的成效。同时也可以在他领域如图着色问题、车辆调度问题、集成电路设计、通讯网络、数据聚类进行参考。(Ant colony algorithm is a newly developed bionic optimization algorithm that simulates the ant colony intelligence behavior. It has the advantages of strong robustness, excellent distributed computer system, and easy combination with other methods. This algorithm is used to solve the shortest solution. Path problems, and achieved good results on TSP travel business issues. At the same time, it can also be referenced in such areas as image coloring, vehicle scheduling, integrated circuit design, communication networks, and data clustering.)